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Title: Developing an implicit solvation machine learning model for molecular simulations of ionic media Authors: ID Coste, Amaury (Author) ID Slejko, Ema (Author) ID Zavadlav, Julija (Author) ID Praprotnik, Matej (Author) Files: URL - Source URL, visit https://pubs.acs.org/doi/10.1021/acs.jctc.3c00984   PDF - Presentation file, download (3,87 MB) MD5: BB9B25319D61E4B8FF7C500A5821B991   Language: English Typology: 1.01 - Original Scientific Article Organization: KI - National Institute of Chemistry Publication status: Published Publication version: Version of Record Publisher: American Chemical Society Year of publishing: 2024 Number of pages: str. 411–420 Numbering: [Vol.] 20, iss. 1 PID: 20.500.12556/DiRROS-17971  UDC: 577 ISSN on article: 1549-9626 COBISS.SI-ID: 181084163  Copyright: © 2023 The Authors. Published by American Chemical Society Note: Nasl. z nasl. zaslona; Opis vira z dne 16. 1. 2024; Publication date in DiRROS: 25.01.2024 Views: 504 Downloads: 224 Metadata:    Cite this work Plain text BibTeX EndNote XML EndNote/Refer RIS ABNT ACM Ref AMA APA Chicago 17th Author-Date Harvard IEEE ISO 690 MLA Vancouver : Copy citation

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Record is a part of a journal

Title:	Journal of chemical theory and computation
Shortened title:	J. chem. theory comput.
Publisher:	American Chemical Society
ISSN:	1549-9626
COBISS.SI-ID:	3671066

Document is financed by a project

Funder:	ARRS - Slovenian Research Agency
Project number:	P1-0002
Name:	Večskalno modeliranje in simulacija mehke in biološke snovi v in izven ravnovesja

Licences

License:	CC BY 4.0, Creative Commons Attribution 4.0 International
Link:	http://creativecommons.org/licenses/by/4.0/
Description:	This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.

Secondary language

Language:	Slovenian
Keywords:	biokemija, molekularna dinamika, simulacije, DNK

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